Advancing a Hydrogel Vitreous Substitute for Retinal Surgery

Innovation is increasingly necessary to alleviate the systemic strain on healthcare systems around the world. However, despite significant investment in universities and hospitals to support the integration and application of research its application continues to greatly lag research discoveries. Graduate students play an increasing role in addressing this issue. They have the knowledge, motivation, and […]

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Exploring pathways to net-zero: utilizing advanced energy system modelling to investigate the impact of long duration energy storage on Nova Scotia’s energy transition

Nova Scotia’s investment of Green Fund resources in energy efficiency, solar energy and electric transportation will mitigate carbon emissions immediately. Both the Green Choice Program and renewable energy transmitted via the Maritime Link will significantly decarbonize the electricity grid in the short to medium-term. The initiatives conceived within these programs are cost efficient and low […]

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Feasibility Study of Waste to Energy in Willow Creek

With an estimated population of 15,893, the Municipal District of Willow Creek is a small municipality. Willow Creek Regional Class II Landfill is the only waste management facility for the entire M.D. of Willow Creek region. The Willow Creek Regional Waste Management Services Commission (WCRWMSC) governs and manages this existing disposal facility. The Willow Creek […]

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Development of High-Performance Carbon Fibre from Asphaltene

The goal of this project is to develop effective strategies to improve the quality of CarboMat’s asphaltene-derived carbon fibers for various multifunctional composite applications. Through this project, the partner organization, CarboMat Inc., would be able to leverage their funding because of the grant from Mitacs Elevate to work towards further development of their existing asphaltene-derived […]

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A low cost, reconfigurable, and power efficient FPGA based all-digital transmitter for low earth satellite applications

This research project investigates the design of an all-digital transmitter that is suitable for low earth orbit satellite (LEO) networks. Important requirements for the satellite application include a transmit system that has a software reconfigurable hardware platform that is power efficient and can generate modulated output signals at the carrier frequency. The architecture also needs […]

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Implementation of pest sensing system on commercial sprayer for intelligent spraying

The conventional approach of applying agro-chemicals uniformly to control pests in the potato field may not be the most efficient solution. The non-uniform distribution of pests and weeds necessitated site-specific management utilizing variable-rate and real-time spraying. To this end, a project is currently underway to implement of camera and detection pest algorithm as sensing system […]

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Interpretation of Electrical Resistivity scans with the assistance of Machine Learning

The proposed research aims to use Machine Learning Methods to interpret data obtained during the Electrical Resistivity scans in the delineation of Fracking Sand deposits in Western Canada. Traditional exploration for sand deposits involves pricey and not always efficient auger and sonic drilling on the entire investigated Property. Currently, costs associated with those operations are […]

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Large-scale 3D-vision-aided hybrid manufacturing system for welding, overlay and maintenance operations

The primary objective of this project is to develop a comprehensive additive/subtractive manufacturing system encompassing hardware, sensors, and software for the automated production and repair of non-critical custom industrial equipment. This innovative system integrates AI and 3D computer vision to provide robust control, continuous monitoring, and effective failure identification. Featuring a groundbreaking PC/PLC-based communication architecture, […]

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A generalizable bilevel reinforcement learning model to solve large-scale unrelated parallel machine scheduling problem with sequence-dependent setups in real-time

Our research addresses the challenges in solving large-scale parallel machine scheduling, an important combinatorial optimization problem in computer science and operations research. With applications ranging from manufacturing to healthcare and supercomputing, our goal is to provide a real-time solution for instances exceeding 1,000 jobs. In this research, we explore the application of parallel machine scheduling […]

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Development, and In vitro and In vivo evaluation of thermoresponsive bioreductively-activated nanotheranostics

Cancer management continues to be a global problem (WHO report 2022) – mainly because cancerous solid tumors (found in more than 40% patients, and in all types of cancer) become metastatic, therapy resistant and poor-responding to conventional chemo-/radiotherapy due to a condition called hypoxia (tissue with low levels of oxygen). Due to poor tumor vasculature, […]

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Neurophysiological AI models for training of public safety officers under high stress and mental load

Psychological stress could be an important indicator of comfort with a task, particularly for training in safety-critical fields such as public safety. Continuous stress monitoring emerges as a valuable tool for improving and individualizing training, offering instructors a more comprehensive understanding of each student’s overall task comfort and enabling timely interventions based on stress levels […]

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